def test_no_phenomenon(self):
original_metadata = deepcopy(self.metadata)
self.phenom_lookup_patch.return_value = None
result = translate_phenomenon(self.metadata,
None,
None,
None,
probability=self.probability)
self.assertEqual(self.metadata, original_metadata)
def test_basic(self):
result = translate_phenomenon(self.metadata, None, None, None,
probability=self.probability)
# Check metadata.
thresh_coord = DimCoord([22.0],
standard_name='air_temperature',
long_name='', units='K')
self.assertEqual(self.metadata, {
'standard_name': None,
'long_name': 'probability_of_air_temperature_<prob_type>',
'units': Unit(1),
'aux_coords_and_dims': [(thresh_coord, None)]})
def test_basic(self):
result = translate_phenomenon(self.metadata,
None,
None,
None,
probability=self.probability)
# Check metadata.
thresh_coord = DimCoord([22.0],
standard_name='air_temperature',
long_name='',
units='K')
self.assertEqual(
self.metadata, {
'standard_name': None,
'long_name': 'probability_of_air_temperature_<prob_type>',
'units': Unit(1),
'aux_coords_and_dims': [(thresh_coord, None)]
})
def test_no_phenomenon(self):
original_metadata = deepcopy(self.metadata)
self.phenom_lookup_patch.return_value = None
result = translate_phenomenon(self.metadata, None, None, None,
probability=self.probability)
self.assertEqual(self.metadata, original_metadata)